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US7124353B2 - System and method for calculating a user affinity - Google Patents

System and method for calculating a user affinity Download PDF

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US7124353B2
US7124353B2 US10044922 US4492202A US7124353B2 US 7124353 B2 US7124353 B2 US 7124353B2 US 10044922 US10044922 US 10044922 US 4492202 A US4492202 A US 4492202A US 7124353 B2 US7124353 B2 US 7124353B2
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user
affinity
actions
score
field
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US20030135818A1 (en )
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James Patrick Goodwin
Andrew Lewis Schirmer
Carl Joseph Kraenzel
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International Business Machines Corp
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International Business Machines Corp
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
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    • G06F17/30613Indexing
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    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
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    • GPHYSICS
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    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

A system and method for determining a user affinity for a category. The system calculates an affinity score based on a record of actions performed on the document by a user and a categorization of the document. This affinity score is computed by a weighted sum of factors associated with the document. The affinity score is normalized and a population threshold is applied. A predetermined percentage of the population of users associated with the document is determined and those users are said to have an affinity for at least one category assigned to the document. The system may also decay an affinity score if a user has not performed at least one action on the document. If the user performs an action on the document, however, the affinity may be reset. A user, system administrator or other user may also be enabled to decline an affinity for a category.

Description

RELATED APPLICATIONS

This application claims priority to U.S. Provisional Application No. 60/347,283 titled “Knowledge Server,” filed Jan. 14, 2002, which is hereby incorporated by reference. This application is related to U.S. Pat. No. 7,000,194, filed Sep. 22, 1999, which is also hereby incorporated by reference.

This application is also related to commonly owned U.S. Pat. No. 6,377,983, titled “Method and System for Conveying Expertise Based on Document Usage,” filed Nov. 13, 1998, which is hereby incorporated by reference. This application is also related to commonly owned U.S. Pat. No. 6,356,898, titled “Method and System for Summarizing Topics of Documents Browsed by a User,” filed Nov. 13, 1998, which is hereby incorporated by reference. This application is also related to commonly owned U.S. Pat. No. 6,513,039, titled “Profile Inferencing Through Automated Access Control List Analysis Heuristics,” filed Jun. 24, 1999, which is incorporated herein by reference.

FIELD OF THE INVENTION

The invention relates to a system and method for determining a user's affinity with a particular topic by using a formula to calculate a person's affinity based on historical actions of the user on particular documents and categorization of the documents.

BACKGROUND OF THE INVENTION

Many organizations have some form of employee directory and usually have made an attempt to augment this directory with personal profile attributes such as memberships, position, title or project affiliations. Many have attempted to expand each employee's profile by adding skills inventory, educational background or professional accomplishments. Many of these efforts have been successful, but most have not fulfilled their goal. The effort required to update and maintain such a profile and a subjective nature of self-description leads to inaccuracies or stale data.

Often, people who have relevant knowledge in a particular topic are not contacted because a method to search for persons with such knowledge has not been implemented. Most such people finder systems fail due to a lack of timely updates to an employee's profile. In addition, knowledgeable workers may not consider their experience to be valuable to others and may overlook this when manually completing profile forms. The result is that many manually built expertise locator systems are irrelevant or become outdated and eventually fail.

These and other drawbacks exist.

SUMMARY OF THE INVENTION

One object of the invention is to overcome these and other drawbacks of existing systems.

Another object of the invention is to provide a system and method for facilitating locating users with expertise in a particular topic.

Another object of the invention is to provide a system and method for facilitating locating users with expertise in a particular topic by assigning categories to objects associated with the users.

Another object of the invention is to provide a system and method for facilitating locating users with expertise in a particular topic by mapping between the categories and objects associated with the users.

Another object of the invention is to provide a system and method for facilitating locating users with expertise in a particular topic by maintaining a record actions performed on an object by the users.

Another object of the invention is to provide a system and method for facilitating locating users with expertise in a particular topic by calculating an affinity score for a user based on an object category and an actions record.

Another object of the invention is to provide a system and method for facilitating locating users with expertise in a particular topic by calculating an affinity based on a weighted sum of factors associated with an object including whether the user is an author or editor, if the user is responding to another object, if the user merely views the object, and if the object includes links to other objects.

Another object of the invention is to provide a system and method for facilitating locating users with expertise in a particular topic where the affinity score is calculated based on the weighted sum of factors over all time.

Another object of the invention is to provide a system and method for facilitating locating users with expertise in a particular topic where the affinity score decays over an inactive period of time.

Another object of the invention is to provide a system and method for facilitating locating users with expertise in a particular topic where the affinity score may be reset after any action is performed on the object.

These and other objects of the invention are achieved according to various embodiments of the invention. According to one embodiment, a system, method and processor readable medium comprising processor readable code embodied therein are provided that calculate a user affinity score for at least one category. The system includes at least one categorized document The document may be categorized according to a topic provided in the document. The document may be mapped to one or more categories. A record of actions performed on the document by one or more users may be maintained. A weighted sum of a user's role and actions on the document in a category may be computed to determine an affinity score for that user's contribution to the category. The affinity score may be calculated as a sum over all time. The affinity score may be normalized and a population threshold may be applied such that a predetermined top percentage of users in each category may be designated as having an affinity for the category. The affinity may be based on a user's role in accessing the document, for example, whether the user is an author, editor, or reader of the document, whether the user is responding to another object of the same or different category, and whether the object includes links to other documents or objects of the same or different category.

If a user does not perform any actions on the document for a predetermined period of time, that user's affinity may decay. The rate at which user's affinity may decay may be at a constant rate or other rate determined by, for example, a system administrator. The user's affinity may be calculated as a sum over all time using a formula of:
A*Va+T*Vt+L*Vl+E*Ve+R*Vr;

where A is an author field, Va is an author value associated with the author field, T is a response to field, Vt is a response to value associated with the response to field, L is a links field, Vl is a links value associated with the links field, E is an editor's field, Ve is an editor's value associated with the editor's field, R is a reading field and Vr is a reading value associated with the reading field.

These and other objects, features and advantages of the invention will be readily apparent to those having ordinary skill in the pertinent art from the detailed description of the embodiments with reference to the appropriate figures below.

BRIEF DESCRIPTIONS OF THE DRAWINGS

FIG. 1 is a schematic block diagram of a method for determining a user affinity according to one embodiment of the invention.

FIG. 2 is a schematic block diagram of a method for calculating an affinity score for determining a user affinity according to one embodiment of the invention.

FIG. 3 is a schematic block diagram of a system for determining a user's affinity according to one embodiment of the invention.

FIG. 4 is a schematic diagram of a document that may be used to determine a user affinity according to one embodiment of the invention.

DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS

A system, method, and processor readable medium having processor readable code embedded therein for determining a user affinity for a category is disclosed. The system may be used to facilitate locating users having an expertise or knowledge in a particular area. The system may automatically determine relationships between users and documents. The relationships may be based on a record of actions performed on documents by a user and a categorization of the documents.

FIG. 1 illustrates a method for determining a user affinity for a category according to one embodiment of the invention. A category may be assigned to, for example, a document, step 102. The category may be assigned, for example, when the document is created. The category may be assigned, for example, based on repeated words in the document, images, or other criteria. Additionally, categories may be changed or other categories may be assigned to the document by, for example, a system administrator or other user, after the document's creation. The document may then be associated with a user, step 104. The document may be associated with the user when the user creates, edits, views or otherwise accesses the document. An actions record may be maintained, step 106. The actions record may identify actions that have been performed on a document by a user, time of action, duration of action, and other criteria. Based on actions performed on the document by a user and the category or categories assigned to the document, a user affinity may be determined, step 108. The user affinity may be a score calculated based on the user's actions regarding a particular document and the categories assigned to the document as described in further detail below with reference to FIG. 2.

After a user affinity has been determined, a determination may be made regarding whether the user has performed any additional actions on the document, step 110. If the user has performed additional actions on a document, the score used to identify the affinity may be reset, step 112. If, however, the user has not performed any actions on the document after a predetermined period of time, for example, one (1) week, the user affinity may decay. The user affinity may decay, for example, by a predetermined percentage after a predetermined period of time. For example, a user affinity for a particular category may have a score of one hundred (100). If the user does not perform any actions on the document, the score may be reduced by, for example, twenty (20) percent, after each week of non-activity. After the user affinity has been decayed, a determination may be made regarding whether the user has performed any actions on the document for up to, for example, another week. If the user does not perform any actions on the document, the user affinity may be decayed by, for example, another twenty (20) percent. If the user performs an action on the document, however, the user affinity may be reset, step 112. Therefore, the score used to determine the user affinity may be reset to one hundred (100). The process of decaying may be repeated until a score of, for example, zero (0) is obtained or the user performs an action on the document. If a score of zero (0) is obtained, however, and the user performs an action on the document, the user affinity may be reset to, for example, one hundred (100).

A user or system administrator may be provided with an option of declining a user affinity. A determination may be made regarding whether the user or system administrator has declined the user affinity for a particular category, step 116. If the user or system administrator has declined the user affinity, the user affinity may be removed, step 118. If the user or system administrator has not declined user affinity, a determination may be made regarding whether the user has performed any actions on the document, step 110. According to one embodiment, a user or system administrator may designate whether other users may decline a particular user's affinity for a category.

A method for determining a user affinity is shown in Fig.2. The user affinity may be determined by calculating an affinity score, step 202. The score may be based at least in part on meta data for a document. The meta data may include an author field, response to field, links field, editor's field, and reading field. The author field may identify the author of the document, the editor's field may identify any user that may have edited the document. The response to field may identify whether the document is in response to another document. The links field may identify whether the document links to another document. Thus, for example, if a particular user is listed in the author, editor, and reading field, a higher affinity score may be calculated. The affinity score may also be based on actions performed on the document by the user. According to one embodiment of the invention, an affinity score may be calculated by assigning a value to the meta data of the document. For example, a value may be assigned to each of the author, response to, links, editor's, and reading fields. Each of the fields may be multiplied by the value associated with that field and then each product for all of the meta data may be added together to compute the affinity score. For example, a formula for calculating an affinity score may be:
A*Va+T*Vt+L*Vl+E*Ve+R*Vr;

where A is the author field, Va is an author value associated with the author field, T is a response to field, Vt is a response to value associated with the response to field, L is a links field, Vl is a links value associated with the links field, E is an editor's field, Ve is an editor's value associated with the editor's field, R is a reading field and Vr is a reading value associated with the reading field. Each value associated with the fields may differ based on importance or other criteria. For example, the author value may be higher than the reading value. This may be because an author may have more knowledge in a particular category as opposed to a user who merely reads or views the document. According to one embodiment of the invention, a reading portion of the above formula may be calculated as:
log10(R+0.0001)*Vr

This may assist in preventing popular or frequently visited documents from dominating the affinity score. Any method of weighting and assigning values may be used. The formula may also include other or additional action/value pairs such as, for example:
X*Vx+Y*Vy
where X and Y are other actions that may be identified as showing knowledge of a topic and Vx and Vy are values associated with the X and Y actions. Any amount of N actions may be used in the formula.

After calculating the affinity score, the affinity score may be normalized, step 204. Normalization may be performed according to any known manner. After normalizing the affinity score, a population threshold may be applied to the affinity score, step 206. The population threshold may identify all users that receive an affinity score of, for example, higher than zero (0), for a category. A predetermined percentage of the users within the population threshold may then be identified as having an affinity for the category, step 208. The affinity score may be cumulative for all time.

FIG. 3 is a block diagram of a system for determining a user affinity according to one embodiment of the invention. The system may include a category assigning module 302, document associating module 304, actions record maintaining module 306, affinity score calculating module 308, affinity score normalizing module 310, population thresholds applying module 312, percentage association module 314, affinity score maintaining module 316, affinity score the setting module 318, and affinity declining module 320. Category assigning module 302 may enable one or more categories to be assigned to a document. The categories may be, for example, assigned when the document is created. Alternatively, a system administrator and/or one or more users may be granted rights for assigning, changing, or deleting categories assigned to one or more documents.

Document associating module 304 may associate a document with one or more users. The association may be, for example, a user to category relationship. Document associating module 304 may identify categories associated with a user according to the categories assigned to documents that the user has accessed. Actions record maintaining module 306 may be used to maintain a record of actions performed on a document by a user. For example, actions record maintaining module 306 may maintain a record of when a document is accessed by viewing, editing, creating, or other action performed by a particular user. The actions record may identify a date and time at which the document is accessed, an action performed on the document, and other information.

An affinity score may be calculated based on the actions record and categories assigned to documents by affinity score calculating module 308. Affinity score calculating module 308 may use meta data included with the document to calculate an affinity score. The meta data may include the following information: author, response to, links, editors, and reading. A value may be associated with each meta data. For example, an author value may be assigned to the author information, a response value may be assigned to the response to information, a links value may be assigned to the links information, an editor's value may be assigned to the editors information, and a reading value may be assigned to the reading information. The affinity score may be a sum over all time and may be calculated using a formula of:
A*Va+T*Vt+L*Vl+E*Ve+R*Vr;

where A is the author field, Va is the author value, T is a response to field, Vt is the response to value, L is a links field, Vl is the links value, E is an editor's field, Ve is the editor's value, R is a reading field and Vr is the reading value. According to one embodiment of the invention, a reading portion of the above formula may be calculated as:
log10(R+0.0001)*Vr

This may assist in preventing popular or frequently visited documents from dominating the affinity score. The affinity score may then be normalized using affinity score normalizing module 310. The affinity score may be normalized to any normalized value and according to any known normalizing method. After normalizing the affinity score, population threshold applying module 312 may identify users having a normalized affinity score of, for example, higher than zero (0). A predetermined percentage of users having a normalized affinity score higher than zero (0) may then be associated with the document using percentage association module 314. The users within this percentage may then be identified as having an affinity for a category assigned to the document.

If a user does not perform an action on a document for which the user has an affinity, the affinity score may be decayed using affinity score decaying module 316. The affinity score may be decayed at a constant or other rate and may be set by a system administrator or other user. For example, if a user has not performed any actions on a document for one (1) week, the affinity score may be decreased by twenty (20) percent. After each week of non-activity, the affinity score may be decreased by an additional twenty (20) percent. This may continue until the affinity score becomes zero (0), or a user performs an action on the document. If a user performs an action on the document, the affinity score may be reset by affinity score resetting module 318. Therefore, the affinity score may be set to the original affinity score provided to the user for the category.

According to one embodiment of the invention, the user, system administrator or other user may decline an affinity for a particular category. The users or system administrator may decline the affinity using affinity declining module 310. Users other than the user for which the affinity is associated, may be granted rights for declining affinities for categories to other users.

FIG. 4 illustrates a document 402 according to one embodiment of the invention. Document 402 may include an author field 404, response to field 406, links field 408, editor's field 410, and reading field 412. The authors field 404 may identify the author of the document. Response to field 406 may identify whether the document was created in response to one or more other documents. Links field 408 may identify whether the document links to other documents or other documents link to document 402. Editors field 410 may identify users who have edited document 402. Reading field 412 may identify users that have read, or at least displayed, document 402.

According to one embodiment of the invention, a user may search for other users having an affinity for one or more categories. The search may be performed in any manner. The user may search for all users having an affinity for a particular category, users having an affinity score higher than a certain threshold, or other criteria.

Other embodiments and uses of the invention will be apparent to those skilled in the art in consideration of the specification and practice of the invention disclosed herein. The specification and examples should be considered exemplary only. For example, although the invention has been described in terms of a document, a document may be any electronic document that may be categorized, for example, electronic mail messages, graphic files or other type of electronic document. Additionally, although the invention has been described in terms of multiple modules, fewer or a greater number of modules may be used and modules may not be provided in the same location. The scope of the invention is only limited by the claims appended hereto.

Claims (60)

1. A method for determining a user affinity for a topic comprising the steps of:
assigning a category to at least one object;
associating the at least one object with at least one user;
maintaining a record of a number of times that actions are performed on the at least one object by the at least one user and a record of action types of the actions performed on the at least one object by the at least one user, wherein the types of the actions comprise an authoring action type, a response action type, a linking action type, and an editing action type, and wherein the record is maintained in meta data associated with the at least one object;
associating a value with each of the action types of the actions performed on the at least one object by the at least one user;
calculating a user affinity score for the user's association with the at least one object based on the number of times that actions are performed on the at least one object by the at least one user and the values associated with the action types of the actions performed on the at least one object by the at least one user;
storing the user affinity score.
2. The method of claim 1, further comprising determining a user affinity to the category based on the affinity score for the user's association with the at least one object.
3. The method of claim 1 further comprising the step of: normalizing the affinity score calculated.
4. The method of claim 3, further comprising the step of: applying a population threshold of a plurality of users to the affinity score.
5. The method of claim 4, further comprising the step of: associating a predetermined percentage of the plurality of users with the user affinity for the at least one topic.
6. The method of claim 1, wherein the meta data associated with the at least one object comprises at least one of an author field that indicates authoring actions, a response to field that indicates response actions, a links field that indicates linking actions, an editors field that indicates editing actions, and a reading field that indicates reading actions.
7. The method of claim 1 wherein the affinity score for the user's association with the at least one object is calculated from a sum of weighted action type counts, wherein each action type count is determined by multiplying the number of times the user performed that action by the value associated with that action type.
8. The method of claim 7, wherein the affinity score is calculated according to a formula of:

A*Va+T*Vt+L*Vl+E*Ve+*Vr;
where A is the author field, Va is an author value associated with authoring actions, T is the response to field, Vt is a response to value associated with the response actions, L is the links field, Vi is a links value associated with linking actions, E is the editors field, Ve is an editors value associated with editing actions, R is the reading field, and Vr is a reading value associated with reading actions.
9. The method of claim 1, further comprising the step of: determining whether the at least one user has performed at least one action on the at least one object.
10. The method of claim 9, further comprising the step of: decaying the user affinity of the at least one user if a determination is made that the at least one user has not performed any actions on the at least one object.
11. The method of claim 10, wherein the step of decaying the user affinity decays at a constant rate.
12. The method of claim 11, wherein the constant rate is a predetermined percentage per a predetermined period of time.
13. The method of claim 9, further comprising the step of: resetting the user affinity if a determination is made that the at least one user has performed the at least one action on the at least one object.
14. The method of claim 1, further comprising the step of: enabling a system administrator to decline the user affinity.
15. The method of claim 1, further comprising the step of: enabling the user to decline the user affinity.
16. A system tangibly embodied on a computer for determining a user affinity for a topic comprising:
assigning means for assigning a category to at least one object;
associating means for associating the at least one object with at least one user;
maintaining means for maintaining a record of a number of times that actions are performed on the at least one object by the at least one user and a record of action types of the actions performed on the at least one object by the at least one user, wherein the types of the actions comprise an authoring action type, a response action type, a linking action type, and an editing action type, and wherein the record is maintained in meta data associated with the at least one object;
associating means for associating a value with each of the action types of the actions performed on the at least one object by the at least one user;
calculating means for calculating a user affinity score for the user's association with the at least one object based on the number of times that actions are performed on the at least one object by the at least one user and the values associated with the action types of the actions performed on the at least one object by the at least one user and; and
storage means for storing the user affinity score.
17. The system of claim 16, wherein the calculating means determines a user affinity to the category based on the determines affinity score for the user's association with the at least one object.
18. The system of claim 16, further comprising normalizing means for normalizing the affinity score calculated.
19. The system of claim 18, further comprising applying means for applying a population threshold of a plurality of users to the affinity score.
20. The system of claim 19, further comprising percentage associating means for associating a predetermined percentage of the plurality of users with the user affinity for the at least one topic.
21. The system of claim 16, wherein the meta data of the at least one object comprises at least one of an author field that indicates authoring actions, a response to field that indicates response actions, a links field that indicates linking actions, an editors field that indicates editing actions, and a reading field that indicates reading actions.
22. The system of claim 16, wherein the user affinity score for the user's association with the at least one object is calculated from a sum of weighted action type counts, wherein each action type count is determined by multiplying the number of times the user performed that action by the value associated with that action type.
23. The system of claim 22, wherein the affinity score is calculated according to a formula of:

A* Va+T*Vt+L*Vl+E*Ve+R*Vr;
where A is the author field, Va is an author value associated with authoring actions, T is the response to field, Vt is a response to value associated with response actions, L is the links field, VI is a links value associated with linking actions, E is the editors field, Ve is an editors value associated with editing actions, R is the reading field, and Vr is a reading value associated with reading actions.
24. The system of claim 16, further comprising action determining means for determining whether the at least one user has performed at least one action on the at least one object.
25. The system of claim 24, further comprising decaying means for decaying the user affinity of the at least one user if a determination is made that the at least one user has not performed any actions on the at least one object.
26. The system of claim 25, wherein the decaying means decays the affinity score at a constant rate.
27. The system of claim 26, wherein the constant rate is a predetermined percentage per a predetermined period of time.
28. The system of claim 24, further comprising resetting means for resetting the user affinity if a determination is made that the at least one user has performed the at least one action on the at least one object.
29. The system of claim 16, further comprising declining means for enabling a system administrator to decline the user affinity.
30. The system of claim 16, further comprising declining means for enabling the user to decline the user affinity.
31. A system tangibly embodied on a computer-readable medium for determining a user affinity for a topic comprising:
an assigning module that assigns a category to at least one object;
an associating module that associates the at least one object with at least one user;
a maintaining module that maintains a record of a number of times that actions are performed on the at least one object by the at least one user and a record of action types of the actions performed on the at least one object by the at least one user wherein the types of the actions comprise an authoring action type, a response action type, a linking action type, and an editing action type, and wherein the record is maintained in meta data associated with the at least one object;
a determining module that associates a value with each of the action types of the actions performed on the at least one object by the at least one user, and calculates a user affinity score for the user's association with the at least one object based on the number of times that actions are performed on the at least one object by the at least one user and the values associated with the action types of the actions performed on the at least one object by the at least one user; and
a storage module that stores the user affinity score.
32. The system of claim 31, wherein the determining module determines the user affinity for the user's association with the category based on the calculated user affinity score.
33. The system of claim 31, further comprising a normalizing module that normalizes the affinity score calculated.
34. The system of claim 32, further comprising an applying module that applies a population threshold of a plurality of users to the affinity score.
35. The system of claim 34, further comprising a percentage associating module that associates a predetermined percentage of the plurality of users with the user affinity for the at least one topic.
36. The system of claim 31, wherein the meta data of the at least one object comprises at least one of an author field that indicates authoring actions, a response to field that indicates response actions, a links field that indicates linking actions, an editors field that indicates editing actions, and a reading field that indicates reading actions.
37. The system of claim 36, wherein the user affinity score for the user's association with the at least one object is calculated from a sum of weighted action type counts, wherein each action type count is determined by multiplying the number of times the user performed that action by the value associated with that action type.
38. The system of claim 37, wherein the affinity score is calculated according to a formula of:

A*Va+T*Vt+L*Vl+E*Ve+R*Vr;
where A is the author value associated with authoring actions, T is the response to field, Vt is a response to value associated with response actions, L is the links field, VI is a links value associated with linking actions, E is the editors field, Ve is an editors value associated with editing actions, R is the reading field, and Vr is a reading value associated with reading actions.
39. The system of claim 31, further comprising an action determining module that determines whether the at least one user has performed at least one action on the at least one object.
40. The system of claim 39, further comprising a decaying module that decays the user affinity of the at least one user if a determination is made that the at least one user has not performed any actions on the at least one object.
41. The system of claim 40, wherein the decaying module decays the affinity score at a constant rate.
42. The system of claim 41, wherein the constant rate is a predetermined percentage per a predetermined period of time.
43. The system of claim 39, further comprising a resetting module that resets the user affinity if a determination is made that the at least one user has performed the at least one action on the at least one object.
44. The system of claim 31, further comprising a declining module that enables a system administrator to decline the user affinity.
45. The system of claim 31, further comprising declining module that enables the user to decline the user affinity.
46. A processor readable medium comprising processor readable tangibly embodied thereon for determining a user affinity for a topic, the medium comprising:
assigning code that causes a processor to assign a category to at least one object;
associating code that causes a processor to associate the at least one object with at least one user;
maintaining code that causes a processor to maintain a record of a number of times that actions are performed on the at least one object by the at least one user;
maintaining code that causes a processor to maintain a record of action types of the actions performed on the at least one object by the at least on user, wherein the types of the actions comprise an authoring action type, a response action type, a linking action type, and an editing action type, and wherein the record is maintained in meta data associated with the at least one object;
associating code that associates a value with each of the action types of the actions performed on the at least one object by the at least one user;
determining code that causes a processor to calculate a user affinity score for the user's association with the at least one object based on the number of times that actions are performed on the at least one object by the at least one user and the values associated with the action types of the actions performed on the at least one object by the at least one user, and
storing code that stores the user affinity score.
47. The medium of claim 46, wherein the determining code determines a user affinity for the user's association with the category based on the calculated user affinity score.
48. The medium of claim 46, further comprising normalizing code that causes a processor to normalize the affinity score calculated.
49. The medium of claim 48, further comprising applying code that causes a processor to apply a population threshold of a plurality of users to the affinity score.
50. The medium of claim 49, further comprising percentage associating code that causes a processor to associate a predetermined percentage of the plurality of users with the user affinity for the at least one topic.
51. The medium of claim 46, wherein the meta data associated with the at least one object comprises at least one of an author field that indicates authoring actions, a response to field that indicates response actions, a links field that indicates linking actions, an editors field that indicates editing actions, and a reading field that indicates reading actions.
52. The medium of claim 46, wherein the user an affinity score for the user's association with the at least one object is calculated from a sum of weighted action type counts, wherein each action type count is determined by multiplying the number of times the user performed that action by the value associated with that action type.
53. The medium of claim 52, wherein the affinity score is calculated according to a formula of:

A*Va+T*Vt+L*Vl+E*Ve+R*Vr;
where A is the author value associated with authoring actions, T is the response to field, Vt is a response to value associated with response actions, L is the links field, VI is a links value associated with linking actions, E is the editors field, Ve is an editors value associated with editing actions, R is the reading field, and Vr is a reading value associated with reading actions.
54. The medium of claim 46, further comprising action determining code that causes a processor to determine whether the at least one user has performed at least one action on the at least one object.
55. The medium of claim 54, further comprising decaying code that causes a processor to decay the user affinity of the at least one user if a determination is made that the at least one user has not performed any actions on the at least one object.
56. The medium of claim 55, wherein the decaying code decays the affinity score at a constant rate.
57. The medium of claim 56, wherein the constant rate is a predetermined percentage per a predetermined period of time.
58. The medium of claim 54, further comprising resetting code that causes a processor to reset the user affinity if a determination is made that the at least one user has performed the at least one action on the at least one object.
59. The medium of claim 46, further comprising declining code that causes a processor to enable a system administrator to decline the user affinity.
60. The medium of claim 46, further comprising declining code that causes a processor to enable the user to decline the user affinity.
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US10044921 Abandoned US20030135499A1 (en) 2002-01-14 2002-01-15 System and method for mining a user's electronic mail messages to determine the user's affinities
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US10341583 Active 2024-10-27 US7698255B2 (en) 2002-01-14 2003-01-14 System for organizing knowledge data and communication with users having affinity to knowledge data
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Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040210565A1 (en) * 2003-04-16 2004-10-21 Guotao Lu Personals advertisement affinities in a networked computer system
US20050198068A1 (en) * 2004-03-04 2005-09-08 Shouvick Mukherjee Keyword recommendation for internet search engines
US20050256755A1 (en) * 2004-05-17 2005-11-17 Yahoo! Inc. System and method for providing automobile marketing research information
US20060206584A1 (en) * 2005-03-11 2006-09-14 Yahoo! Inc. System and method for listing data acquisition
US20060248076A1 (en) * 2005-04-21 2006-11-02 Case Western Reserve University Automatic expert identification, ranking and literature search based on authorship in large document collections
US20070288308A1 (en) * 2006-05-25 2007-12-13 Yahoo Inc. Method and system for providing job listing affinity
US7433960B1 (en) * 2008-01-04 2008-10-07 International Business Machines Corporation Systems, methods and computer products for profile based identity verification over the internet
US20100082356A1 (en) * 2008-09-30 2010-04-01 Yahoo! Inc. System and method for recommending personalized career paths
US20100274815A1 (en) * 2007-01-30 2010-10-28 Jonathan Brian Vanasco System and method for indexing, correlating, managing, referencing and syndicating identities and relationships across systems
US20110047213A1 (en) * 2009-08-20 2011-02-24 Alan David Manuel Method and process for identifying trusted information of interest
US8375067B2 (en) 2005-05-23 2013-02-12 Monster Worldwide, Inc. Intelligent job matching system and method including negative filtration
US8433713B2 (en) 2005-05-23 2013-04-30 Monster Worldwide, Inc. Intelligent job matching system and method
US8527510B2 (en) 2005-05-23 2013-09-03 Monster Worldwide, Inc. Intelligent job matching system and method
US20140365301A1 (en) * 2013-06-11 2014-12-11 Visa International Service Association Systems and methods to generate offers based on transaction data
US8914383B1 (en) * 2004-04-06 2014-12-16 Monster Worldwide, Inc. System and method for providing job recommendations
US8972399B2 (en) 2012-06-22 2015-03-03 Microsoft Technology Licensing, Llc Ranking based on social activity data
US9032289B1 (en) * 2010-03-26 2015-05-12 Google Inc. Providing suggestions to users to write comments
US9262640B2 (en) 2012-08-17 2016-02-16 Charles Fadel Controlling access to resources based on affinity planes and sectors
US9779390B1 (en) 2008-04-21 2017-10-03 Monster Worldwide, Inc. Apparatuses, methods and systems for advancement path benchmarking

Families Citing this family (257)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8429225B2 (en) 2008-05-21 2013-04-23 The Invention Science Fund I, Llc Acquisition and presentation of data indicative of an extent of congruence between inferred mental states of authoring users
US9819561B2 (en) 2000-10-26 2017-11-14 Liveperson, Inc. System and methods for facilitating object assignments
US8868448B2 (en) 2000-10-26 2014-10-21 Liveperson, Inc. Systems and methods to facilitate selling of products and services
US20040139100A1 (en) * 2001-04-02 2004-07-15 Gottsman Edward J. Context-based display technique
US7209906B2 (en) * 2002-01-14 2007-04-24 International Business Machines Corporation System and method for implementing a metrics engine for tracking relationships over time
US8527495B2 (en) * 2002-02-19 2013-09-03 International Business Machines Corporation Plug-in parsers for configuring search engine crawler
US7188107B2 (en) * 2002-03-06 2007-03-06 Infoglide Software Corporation System and method for classification of documents
US20030217106A1 (en) 2002-03-25 2003-11-20 Eytan Adar System and method for profiling clients within a system for harvesting community knowledge
US8260907B2 (en) * 2002-04-04 2012-09-04 Ca, Inc. Methods, systems and computer program products for triggered data collection and correlation of status and/or state in distributed data processing systems
US7065532B2 (en) * 2002-10-31 2006-06-20 International Business Machines Corporation System and method for evaluating information aggregates by visualizing associated categories
US20040088315A1 (en) * 2002-10-31 2004-05-06 International Business Machines Corporation System and method for determining membership of information aggregates
US7080082B2 (en) * 2002-10-31 2006-07-18 International Business Machines Corporation System and method for finding the acceleration of an information aggregate
US7130844B2 (en) * 2002-10-31 2006-10-31 International Business Machines Corporation System and method for examining, calculating the age of an document collection as a measure of time since creation, visualizing, identifying selectively reference those document collections representing current activity
US7412532B2 (en) * 2002-12-13 2008-08-12 Aol Llc, A Deleware Limited Liability Company Multimedia scheduler
US20040122740A1 (en) * 2002-12-20 2004-06-24 Mccarrick Richard L. Web site map with author awareness
US20160132826A9 (en) * 2003-03-03 2016-05-12 Arjuna Indraeswaran Rajasingham Professional collaboration networks
US8386301B2 (en) * 2003-03-03 2013-02-26 Arjuna Indraeswaran Rajasingham Professional collaboration networks
US8606860B2 (en) * 2003-03-31 2013-12-10 Affini, Inc. System and method for providing filtering email messages
US20040193691A1 (en) * 2003-03-31 2004-09-30 Chang William I. System and method for providing an open eMail directory
US20040193644A1 (en) * 2003-03-31 2004-09-30 Baker William P. Exposing a report as a schematized queryable data source
US7761427B2 (en) * 2003-04-11 2010-07-20 Cricket Technologies, Llc Method, system, and computer program product for processing and converting electronically-stored data for electronic discovery and support of litigation using a processor-based device located at a user-site
GB0315190D0 (en) * 2003-06-28 2003-08-06 Ibm Methods, apparatus and computer programs for visualization and management of data organisation within a data processing system
GB0315191D0 (en) * 2003-06-28 2003-08-06 Ibm Methods, apparatus and computer programs for visualization and management of data organisation within a data processing system
US8707312B1 (en) 2003-07-03 2014-04-22 Google Inc. Document reuse in a search engine crawler
US7725452B1 (en) * 2003-07-03 2010-05-25 Google Inc. Scheduler for search engine crawler
US7313827B2 (en) * 2003-07-10 2007-12-25 International Business Machines Corporation Apparatus and method for analysis of conversational patterns to position information and autonomic access control list management
DE10334069A1 (en) * 2003-07-25 2005-03-03 Siemens Ag Fuse affected switching apparatus
US7082573B2 (en) * 2003-07-30 2006-07-25 America Online, Inc. Method and system for managing digital assets
JP4378131B2 (en) * 2003-08-12 2009-12-02 インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Maschines Corporation The information processing apparatus, an information processing system and database searching method, and program
US7346839B2 (en) 2003-09-30 2008-03-18 Google Inc. Information retrieval based on historical data
US7657423B1 (en) * 2003-10-31 2010-02-02 Google Inc. Automatic completion of fragments of text
JP4641714B2 (en) * 2003-11-12 2011-03-02 ソニー株式会社 Remote monitoring system
US7181447B2 (en) 2003-12-08 2007-02-20 Iac Search And Media, Inc. Methods and systems for conceptually organizing and presenting information
US7451131B2 (en) * 2003-12-08 2008-11-11 Iac Search & Media, Inc. Methods and systems for providing a response to a query
US20060230040A1 (en) * 2003-12-08 2006-10-12 Andy Curtis Methods and systems for providing a response to a query
US9288000B2 (en) * 2003-12-17 2016-03-15 International Business Machines Corporation Monitoring a communication and retrieving information relevant to the communication
US7293016B1 (en) * 2004-01-22 2007-11-06 Microsoft Corporation Index partitioning based on document relevance for document indexes
US8296304B2 (en) 2004-01-26 2012-10-23 International Business Machines Corporation Method, system, and program for handling redirects in a search engine
US7424467B2 (en) 2004-01-26 2008-09-09 International Business Machines Corporation Architecture for an indexer with fixed width sort and variable width sort
US7293005B2 (en) 2004-01-26 2007-11-06 International Business Machines Corporation Pipelined architecture for global analysis and index building
US7499913B2 (en) 2004-01-26 2009-03-03 International Business Machines Corporation Method for handling anchor text
US7545784B2 (en) 2004-02-11 2009-06-09 Yahoo! Inc. System and method for wireless communication between previously known and unknown users
RU2006133549A (en) * 2004-02-20 2008-05-20 ДАУ ДЖОУНС РЕЙТЕРЗ БИЗНЕС ИНТЕРЭКТИВ, Эл Эл Си (US) The system and method of intelligent search and retrieval
US7831581B1 (en) * 2004-03-01 2010-11-09 Radix Holdings, Llc Enhanced search
US9104689B2 (en) * 2004-03-17 2015-08-11 International Business Machines Corporation Method for synchronizing documents for disconnected operation
US7756823B2 (en) * 2004-03-26 2010-07-13 Lockheed Martin Corporation Dynamic reference repository
US7272601B1 (en) * 2004-03-31 2007-09-18 Google Inc. Systems and methods for associating a keyword with a user interface area
US7707142B1 (en) 2004-03-31 2010-04-27 Google Inc. Methods and systems for performing an offline search
US8631001B2 (en) * 2004-03-31 2014-01-14 Google Inc. Systems and methods for weighting a search query result
US9009153B2 (en) 2004-03-31 2015-04-14 Google Inc. Systems and methods for identifying a named entity
US7664734B2 (en) * 2004-03-31 2010-02-16 Google Inc. Systems and methods for generating multiple implicit search queries
US7693825B2 (en) * 2004-03-31 2010-04-06 Google Inc. Systems and methods for ranking implicit search results
US20080040315A1 (en) * 2004-03-31 2008-02-14 Auerbach David B Systems and methods for generating a user interface
US8041713B2 (en) * 2004-03-31 2011-10-18 Google Inc. Systems and methods for analyzing boilerplate
JP2005309727A (en) * 2004-04-21 2005-11-04 Hitachi Ltd File system
US9626437B2 (en) * 2004-06-10 2017-04-18 International Business Machines Corporation Search scheduling and delivery tool for scheduling a search using a search framework profile
US7437358B2 (en) 2004-06-25 2008-10-14 Apple Inc. Methods and systems for managing data
US8131674B2 (en) * 2004-06-25 2012-03-06 Apple Inc. Methods and systems for managing data
US7730012B2 (en) 2004-06-25 2010-06-01 Apple Inc. Methods and systems for managing data
US8131754B1 (en) 2004-06-30 2012-03-06 Google Inc. Systems and methods for determining an article association measure
US7788274B1 (en) 2004-06-30 2010-08-31 Google Inc. Systems and methods for category-based search
US7584100B2 (en) * 2004-06-30 2009-09-01 Microsoft Corporation Method and system for clustering using generalized sentence patterns
US20060007477A1 (en) * 2004-07-07 2006-01-12 Fuji Xerox Co., Ltd. Storage medium storing computer program for presenting document registrant, document registrant presenting method, and document management apparatus
US7475354B2 (en) * 2004-07-09 2009-01-06 International Business Machines Corporation Method for generating a portal page
US7698333B2 (en) 2004-07-22 2010-04-13 Factiva, Inc. Intelligent query system and method using phrase-code frequency-inverse phrase-code document frequency module
US7987172B1 (en) 2004-08-30 2011-07-26 Google Inc. Minimizing visibility of stale content in web searching including revising web crawl intervals of documents
US7480857B2 (en) * 2004-09-10 2009-01-20 Igt Method and apparatus for data communication in a gaming system
US7461064B2 (en) 2004-09-24 2008-12-02 International Buiness Machines Corporation Method for searching documents for ranges of numeric values
US8180722B2 (en) * 2004-09-30 2012-05-15 Avaya Inc. Method and apparatus for data mining within communication session information using an entity relationship model
US7574433B2 (en) * 2004-10-08 2009-08-11 Paterra, Inc. Classification-expanded indexing and retrieval of classified documents
CN102982092B (en) * 2004-10-19 2017-06-09 飞扬管理有限公司 System and method for location-based social network
US20060149731A1 (en) * 2005-01-05 2006-07-06 Schirmer Andrew L System and method for deriving affinity relationships between objects
US7778976B2 (en) * 2005-02-07 2010-08-17 Mimosa, Inc. Multi-dimensional surrogates for data management
US8918366B2 (en) * 2005-02-07 2014-12-23 Mimosa Systems, Inc. Synthetic full copies of data and dynamic bulk-to-brick transformation
US8799206B2 (en) * 2005-02-07 2014-08-05 Mimosa Systems, Inc. Dynamic bulk-to-brick transformation of data
US8543542B2 (en) * 2005-02-07 2013-09-24 Mimosa Systems, Inc. Synthetic full copies of data and dynamic bulk-to-brick transformation
US8161318B2 (en) * 2005-02-07 2012-04-17 Mimosa Systems, Inc. Enterprise service availability through identity preservation
US8812433B2 (en) * 2005-02-07 2014-08-19 Mimosa Systems, Inc. Dynamic bulk-to-brick transformation of data
US7917475B2 (en) * 2005-02-07 2011-03-29 Mimosa Systems, Inc. Enterprise server version migration through identity preservation
US7870416B2 (en) * 2005-02-07 2011-01-11 Mimosa Systems, Inc. Enterprise service availability through identity preservation
US7657780B2 (en) 2005-02-07 2010-02-02 Mimosa Systems, Inc. Enterprise service availability through identity preservation
US8271436B2 (en) * 2005-02-07 2012-09-18 Mimosa Systems, Inc. Retro-fitting synthetic full copies of data
US7266562B2 (en) * 2005-02-14 2007-09-04 Levine Joel H System and method for automatically categorizing objects using an empirically based goodness of fit technique
JP2006260522A (en) * 2005-02-21 2006-09-28 Ricoh Co Ltd Information processing device, information management device, information management system, information processing method, information management method, information processing program, information management program, and recording medium
US20060200461A1 (en) * 2005-03-01 2006-09-07 Lucas Marshall D Process for identifying weighted contextural relationships between unrelated documents
US7392253B2 (en) * 2005-03-03 2008-06-24 Microsoft Corporation System and method for secure full-text indexing
US8682913B1 (en) 2005-03-31 2014-03-25 Google Inc. Corroborating facts extracted from multiple sources
US9208229B2 (en) * 2005-03-31 2015-12-08 Google Inc. Anchor text summarization for corroboration
US7587387B2 (en) 2005-03-31 2009-09-08 Google Inc. User interface for facts query engine with snippets from information sources that include query terms and answer terms
US8996470B1 (en) 2005-05-31 2015-03-31 Google Inc. System for ensuring the internal consistency of a fact repository
US7831545B1 (en) * 2005-05-31 2010-11-09 Google Inc. Identifying the unifying subject of a set of facts
US8428358B2 (en) * 2005-05-31 2013-04-23 Microsoft Corporation Radical-base classification of East Asian handwriting
US7769579B2 (en) * 2005-05-31 2010-08-03 Google Inc. Learning facts from semi-structured text
US8046410B1 (en) 2005-06-29 2011-10-25 Weidong Chen System and method for attribute detection in user profile creation and update
US8417693B2 (en) 2005-07-14 2013-04-09 International Business Machines Corporation Enforcing native access control to indexed documents
CA2975694A1 (en) 2005-07-15 2007-01-25 Indxit Systems, Inc. Systems and methods for data indexing and processing
US7478092B2 (en) * 2005-07-21 2009-01-13 International Business Machines Corporation Key term extraction
US7991764B2 (en) * 2005-07-22 2011-08-02 Yogesh Chunilal Rathod Method and system for communication, publishing, searching, sharing and dynamically providing a journal feed
US7653622B2 (en) * 2005-07-29 2010-01-26 Microsoft Corporation Automated content categorization
US7844599B2 (en) * 2005-08-24 2010-11-30 Yahoo! Inc. Biasing queries to determine suggested queries
US7672932B2 (en) 2005-08-24 2010-03-02 Yahoo! Inc. Speculative search result based on a not-yet-submitted search query
US7747639B2 (en) * 2005-08-24 2010-06-29 Yahoo! Inc. Alternative search query prediction
US20070055670A1 (en) * 2005-09-02 2007-03-08 Maycotte Higinio O System and method of extracting knowledge from documents
US20070055696A1 (en) * 2005-09-02 2007-03-08 Currie Anne-Marie P G System and method of extracting and managing knowledge from medical documents
US9432468B2 (en) * 2005-09-14 2016-08-30 Liveperson, Inc. System and method for design and dynamic generation of a web page
US8738732B2 (en) 2005-09-14 2014-05-27 Liveperson, Inc. System and method for performing follow up based on user interactions
US7539653B2 (en) * 2005-10-07 2009-05-26 Xerox Corporation Document clustering
US8095419B1 (en) * 2005-10-17 2012-01-10 Yahoo! Inc. Search score for the determination of search quality
US7921164B2 (en) * 2005-10-31 2011-04-05 Sap Ag Method and apparatus for stopping output of a correspondence
US20070124316A1 (en) * 2005-11-29 2007-05-31 Chan John Y M Attribute selection for collaborative groupware documents using a multi-dimensional matrix
US7925080B2 (en) * 2006-01-13 2011-04-12 New Jersey Institute Of Technology Method for identifying marked images based at least in part on frequency domain coefficient differences
US8224017B2 (en) * 2006-01-13 2012-07-17 New Jersey Institute Of Technology Method for identifying marked content
US8260785B2 (en) 2006-02-17 2012-09-04 Google Inc. Automatic object reference identification and linking in a browseable fact repository
US7945533B2 (en) * 2006-03-01 2011-05-17 Oracle International Corp. Index replication using crawl modification information
US7836394B2 (en) * 2006-04-18 2010-11-16 Savanet Llc Interactive, customizable display and analysis of electronically tagged financial information
US20070271136A1 (en) * 2006-05-19 2007-11-22 Dw Data Inc. Method for pricing advertising on the internet
US20070282923A1 (en) * 2006-06-01 2007-12-06 Christopher Ward Method and apparatus for the manipulation, customization, coordination and decomposition of active data models
US20070288602A1 (en) * 2006-06-09 2007-12-13 Ebay Inc. Interest-based communities
US9396269B2 (en) 2006-06-28 2016-07-19 Microsoft Technology Licensing, Llc Search engine that identifies and uses social networks in communications, retrieval, and electronic commerce
US20080005081A1 (en) * 2006-06-28 2008-01-03 Sun Microsystems, Inc. Method and apparatus for searching and resource discovery in a distributed enterprise system
US9141704B2 (en) * 2006-06-28 2015-09-22 Microsoft Technology Licensing, Llc Data management in social networks
US8874592B2 (en) 2006-06-28 2014-10-28 Microsoft Corporation Search guided by location and context
US7516048B2 (en) * 2006-06-30 2009-04-07 International Business Machines Corporation Externalized metric calculation engine
US8843475B2 (en) * 2006-07-12 2014-09-23 Philip Marshall System and method for collaborative knowledge structure creation and management
US8301616B2 (en) 2006-07-14 2012-10-30 Yahoo! Inc. Search equalizer
US8290949B2 (en) * 2006-07-24 2012-10-16 International Business Machines Corporation Resource name reconciliation in a configuration database
US7761805B2 (en) 2006-09-11 2010-07-20 Yahoo! Inc. Displaying items using a reduced presentation
US20080086490A1 (en) * 2006-10-04 2008-04-10 Sap Ag Discovery of services matching a service request
US8122026B1 (en) 2006-10-20 2012-02-21 Google Inc. Finding and disambiguating references to entities on web pages
US8108501B2 (en) 2006-11-01 2012-01-31 Yahoo! Inc. Searching and route mapping based on a social network, location, and time
US7917154B2 (en) 2006-11-01 2011-03-29 Yahoo! Inc. Determining mobile content for a social network based on location and time
US9697280B2 (en) * 2006-12-13 2017-07-04 Quickplay Media, Inc. Mediation and settlement for mobile media
US9124650B2 (en) * 2006-12-13 2015-09-01 Quickplay Media Inc. Digital rights management in a mobile environment
US7882076B2 (en) * 2006-12-14 2011-02-01 Lam Research Corporation Primary server architectural networking arrangement and methods therefor
US20080177892A1 (en) * 2007-01-19 2008-07-24 International Business Machines Corporation Method for service oriented data extraction transformation and load
US7801885B1 (en) * 2007-01-25 2010-09-21 Neal Akash Verma Search engine system and method with user feedback on search results
US8023747B2 (en) * 2007-02-09 2011-09-20 New Jersey Institute Of Technology Method and apparatus for a natural image model based approach to image/splicing/tampering detection
US20080195586A1 (en) * 2007-02-09 2008-08-14 Sap Ag Ranking search results based on human resources data
US8347202B1 (en) 2007-03-14 2013-01-01 Google Inc. Determining geographic locations for place names in a fact repository
WO2008120043A1 (en) * 2007-03-29 2008-10-09 Nokia Corporation Method, apparatus, system, user interface and computer program product for use with managing content
US9391828B1 (en) * 2007-04-02 2016-07-12 Emc Corporation Storing and monitoring computed relationships between network components
US8131745B1 (en) 2007-04-09 2012-03-06 Rapleaf, Inc. Associating user identities with different unique identifiers
US20080270469A1 (en) * 2007-04-26 2008-10-30 Microsoft Corporation Business metrics aggregated by custom hierarchy
US20080301237A1 (en) * 2007-05-31 2008-12-04 Allan Peter Parsons Method and apparatus for improved referral to resources and a related social network
US8078565B2 (en) * 2007-06-12 2011-12-13 Kana Software, Inc. Organically ranked knowledge categorization in a knowledge management system
US8682982B2 (en) * 2007-06-19 2014-03-25 The Invention Science Fund I, Llc Preliminary destination-dependent evaluation of message content
US8984133B2 (en) * 2007-06-19 2015-03-17 The Invention Science Fund I, Llc Providing treatment-indicative feedback dependent on putative content treatment
US20080320088A1 (en) * 2007-06-19 2008-12-25 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Helping valuable message content pass apparent message filtering
JP2009053757A (en) * 2007-08-23 2009-03-12 Toshiba Corp Information processing apparatus, input method and program
US8082225B2 (en) * 2007-08-31 2011-12-20 The Invention Science Fund I, Llc Using destination-dependent criteria to guide data transmission decisions
US20090063632A1 (en) * 2007-08-31 2009-03-05 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Layering prospective activity information
US8065404B2 (en) * 2007-08-31 2011-11-22 The Invention Science Fund I, Llc Layering destination-dependent content handling guidance
US20090063631A1 (en) * 2007-08-31 2009-03-05 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Message-reply-dependent update decisions
US20090063585A1 (en) * 2007-08-31 2009-03-05 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Using party classifiability to inform message versioning
US20090083221A1 (en) * 2007-09-21 2009-03-26 International Business Machines Corporation System and Method for Estimating and Storing Skills for Reuse
US20090094209A1 (en) * 2007-10-05 2009-04-09 Fujitsu Limited Determining The Depths Of Words And Documents
WO2009052265A1 (en) * 2007-10-19 2009-04-23 Huron Consulting Group, Inc. Document review system and method
US8423557B2 (en) * 2007-11-06 2013-04-16 International Business Machines Corporation Computer method and system for determining individual priorities of shared activities
US9374242B2 (en) 2007-11-08 2016-06-21 Invention Science Fund I, Llc Using evaluations of tentative message content
US8812435B1 (en) 2007-11-16 2014-08-19 Google Inc. Learning objects and facts from documents
US7930389B2 (en) 2007-11-20 2011-04-19 The Invention Science Fund I, Llc Adaptive filtering of annotated messages or the like
US20090157496A1 (en) * 2007-12-14 2009-06-18 Yahoo! Inc. Personal broadcast engine and network
US8086582B1 (en) 2007-12-18 2011-12-27 Mcafee, Inc. System, method and computer program product for scanning and indexing data for different purposes
US20090198506A1 (en) * 2008-01-23 2009-08-06 Gupta Puneet K Network-Based System for Enhancing Cooperation Among Persons Engaged in an Enterprise
US20090198666A1 (en) * 2008-02-01 2009-08-06 Winston Ronald H Affinity matching system and method
US20090210386A1 (en) * 2008-02-20 2009-08-20 Cahill James S Methods and apparatus to create process plant operator interfaces
JP5224851B2 (en) * 2008-02-27 2013-07-03 インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Machines Corporation Search engine, the search system, the search method, and program
US7996357B2 (en) * 2008-02-29 2011-08-09 Plaxo, Inc. Enabling synchronization with a difference unaware data source
US8892761B1 (en) 2008-04-04 2014-11-18 Quickplay Media Inc. Progressive download playback
US20090271371A1 (en) * 2008-04-28 2009-10-29 Alan Levin Search customization by geo-located proxy of user segment
US20090276496A1 (en) * 2008-04-30 2009-11-05 International Business Machines Corporation Systems, methods and computer program products for building a user's buddy list through public group membership
US8615664B2 (en) * 2008-05-23 2013-12-24 The Invention Science Fund I, Llc Acquisition and particular association of inference data indicative of an inferred mental state of an authoring user and source identity data
US9192300B2 (en) * 2008-05-23 2015-11-24 Invention Science Fund I, Llc Acquisition and particular association of data indicative of an inferred mental state of an authoring user
US8005894B2 (en) * 2008-05-23 2011-08-23 The Invention Science Fund I, Llc Acquisition and presentation of data indicative of an extent of congruence between inferred mental states of authoring users
US7904507B2 (en) * 2008-05-23 2011-03-08 The Invention Science Fund I, Llc Determination of extent of congruity between observation of authoring user and observation of receiving user
US8086563B2 (en) * 2008-05-23 2011-12-27 The Invention Science Fund I, Llc Acquisition and particular association of data indicative of an inferred mental state of an authoring user
US9161715B2 (en) * 2008-05-23 2015-10-20 Invention Science Fund I, Llc Determination of extent of congruity between observation of authoring user and observation of receiving user
US20090292658A1 (en) * 2008-05-23 2009-11-26 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Acquisition and particular association of inference data indicative of inferred mental states of authoring users
US8082215B2 (en) * 2008-05-23 2011-12-20 The Invention Science Fund I, Llc Acquisition and particular association of inference data indicative of inferred mental states of authoring users
US8055591B2 (en) * 2008-05-23 2011-11-08 The Invention Science Fund I, Llc Acquisition and association of data indicative of an inferred mental state of an authoring user
US8001179B2 (en) * 2008-05-23 2011-08-16 The Invention Science Fund I, Llc Acquisition and presentation of data indicative of an extent of congruence between inferred mental states of authoring users
US9101263B2 (en) * 2008-05-23 2015-08-11 The Invention Science Fund I, Llc Acquisition and association of data indicative of an inferred mental state of an authoring user
WO2010001406A1 (en) * 2008-07-04 2010-01-07 Yogesh Chunilal Bathod Methods and systems for brands social networks (bsn) platform
US8180771B2 (en) * 2008-07-18 2012-05-15 Iac Search & Media, Inc. Search activity eraser
US8799200B2 (en) 2008-07-25 2014-08-05 Liveperson, Inc. Method and system for creating a predictive model for targeting webpage to a surfer
US8762313B2 (en) 2008-07-25 2014-06-24 Liveperson, Inc. Method and system for creating a predictive model for targeting web-page to a surfer
US8805844B2 (en) 2008-08-04 2014-08-12 Liveperson, Inc. Expert search
US20100049534A1 (en) * 2008-08-19 2010-02-25 Thomas Scott Whitnah Determining User Affinity Towards Applications on a Social Networking Website
US8307086B2 (en) 2008-08-19 2012-11-06 Facebook, Inc. Resource management of social network applications
US8296278B2 (en) * 2008-09-17 2012-10-23 Microsoft Corporation Identifying product issues using forum data
US9064021B2 (en) * 2008-10-02 2015-06-23 Liveramp, Inc. Data source attribution system
US8073809B2 (en) * 2008-10-02 2011-12-06 Microsoft Corporation Graphical model for data validation
US9892417B2 (en) 2008-10-29 2018-02-13 Liveperson, Inc. System and method for applying tracing tools for network locations
US20100138414A1 (en) * 2008-12-01 2010-06-03 Andrew Newman Methods and systems for associative search
US8161028B2 (en) * 2008-12-05 2012-04-17 International Business Machines Corporation System and method for adaptive categorization for use with dynamic taxonomies
US8099419B2 (en) * 2008-12-19 2012-01-17 Sap Ag Inferring rules to classify objects in a file management system
US20100318571A1 (en) * 2009-06-16 2010-12-16 Leah Pearlman Selective Content Accessibility in a Social Network
US8763150B2 (en) * 2009-06-18 2014-06-24 Microsoft Corporation Correlating private affinities
US20110004922A1 (en) * 2009-07-01 2011-01-06 Microsoft Corporation User Specified Privacy Settings
US7953679B2 (en) * 2009-07-22 2011-05-31 Xerox Corporation Scalable indexing for layout based document retrieval and ranking
US20110061004A1 (en) * 2009-09-04 2011-03-10 Microsoft Corporation Use of Communicator Application to Establish Communication with Experts
US20110173236A1 (en) * 2010-01-13 2011-07-14 E-Profile Method and system for generating a virtual profile of an entity
CN102893278A (en) * 2010-02-03 2013-01-23 阿科德有限公司 Electronic message systems and methods
US8863008B2 (en) * 2010-02-17 2014-10-14 International Business Machines Corporation Automatic removal of sensitive information from a computer screen
US20110202854A1 (en) 2010-02-17 2011-08-18 International Business Machines Corporation Metadata Capture for Screen Sharing
US8666993B2 (en) 2010-02-22 2014-03-04 Onepatont Software Limited System and method for social networking for managing multidimensional life stream related active note(s) and associated multidimensional active resources and actions
US20110208822A1 (en) * 2010-02-22 2011-08-25 Yogesh Chunilal Rathod Method and system for customized, contextual, dynamic and unified communication, zero click advertisement and prospective customers search engine
US9767212B2 (en) 2010-04-07 2017-09-19 Liveperson, Inc. System and method for dynamically enabling customized web content and applications
US20110258203A1 (en) * 2010-04-16 2011-10-20 Wouhaybi Rita H Methods and systems for relationship characterization and utilization from a user's social networks
JP5527408B2 (en) 2010-04-28 2014-06-18 株式会社Jvcケンウッド Item selection unit, the item selection method, and item selection program
US8805881B2 (en) 2010-05-06 2014-08-12 International Business Machines Corporation Reputation based access control
US9141690B2 (en) * 2010-05-14 2015-09-22 Salesforce.Com, Inc. Methods and systems for categorizing data in an on-demand database environment
US8612463B2 (en) * 2010-06-03 2013-12-17 Palo Alto Research Center Incorporated Identifying activities using a hybrid user-activity model
US9330376B2 (en) * 2010-06-14 2016-05-03 Ca, Inc. System and method for assigning a business value rating to documents in an enterprise
US8359328B2 (en) 2010-06-15 2013-01-22 International Business Machines Corporation Party reputation aggregation system and method
US8706822B2 (en) 2010-06-23 2014-04-22 Microsoft Corporation Delivering messages from message sources to subscribing recipients
US8931048B2 (en) 2010-08-24 2015-01-06 International Business Machines Corporation Data system forensics system and method
EP2423866A1 (en) * 2010-08-30 2012-02-29 ETH Zurich Method and devices for targeted distribution of data
US8800029B2 (en) 2010-10-04 2014-08-05 International Business Machines Corporation Gathering, storing and using reputation information
US20120246139A1 (en) * 2010-10-21 2012-09-27 Bindu Rama Rao System and method for resume, yearbook and report generation based on webcrawling and specialized data collection
US9350598B2 (en) 2010-12-14 2016-05-24 Liveperson, Inc. Authentication of service requests using a communications initiation feature
US8918465B2 (en) 2010-12-14 2014-12-23 Liveperson, Inc. Authentication of service requests initiated from a social networking site
US8626738B2 (en) * 2011-01-31 2014-01-07 International Business Machines Corporation Interest contour computation and management based upon user authored content
US8838582B2 (en) * 2011-02-08 2014-09-16 Apple Inc. Faceted search results
US9841866B1 (en) 2011-02-23 2017-12-12 Rocket21 Enterprises, LLC. Facilitating interactions between children and experts
KR101102467B1 (en) * 2011-04-22 2012-01-05 한국과학기술정보연구원 Apparatus and method for stage judgment using of technology life cycle
US8812659B2 (en) * 2011-05-26 2014-08-19 Microsoft Corporation Feedback-based symptom and condition correlation
US8706560B2 (en) 2011-07-27 2014-04-22 Ebay Inc. Community based network shopping
EP2557510A1 (en) * 2011-08-12 2013-02-13 Accenture Global Services Limited Context and process based search ranking
WO2013084206A1 (en) * 2011-12-09 2013-06-13 Visual Bearing Limited Web-based social content aggregation and discovery facility
US20130151334A1 (en) * 2011-12-13 2013-06-13 Microsoft Corporation Stratified delivery of advertisements based on affinity scores
CN103186555B (en) * 2011-12-28 2016-05-11 腾讯科技(深圳)有限公司 Evaluation information generation method and system
US8943002B2 (en) 2012-02-10 2015-01-27 Liveperson, Inc. Analytics driven engagement
US8805941B2 (en) 2012-03-06 2014-08-12 Liveperson, Inc. Occasionally-connected computing interface
JP5938987B2 (en) * 2012-03-28 2016-06-22 ソニー株式会社 The information processing apparatus, information processing method, and program
KR101413988B1 (en) * 2012-04-25 2014-07-01 (주)이스트소프트 System and method for separating and dividing documents
US9563336B2 (en) 2012-04-26 2017-02-07 Liveperson, Inc. Dynamic user interface customization
US9672196B2 (en) 2012-05-15 2017-06-06 Liveperson, Inc. Methods and systems for presenting specialized content using campaign metrics
US20140067443A1 (en) * 2012-08-28 2014-03-06 International Business Machines Corporation Business process transformation recommendation generation
WO2014047196A1 (en) * 2012-09-18 2014-03-27 Cavanagh Sarah Clark Systems and methods for managing requests
US9378529B2 (en) * 2012-12-14 2016-06-28 Facebook, Inc. Arranging stories on newsfeeds based on expected value scoring on a social networking system
CN103906066B (en) * 2012-12-27 2016-03-23 腾讯科技(北京)有限公司 Harassment shielding method and apparatus for user-generated content mentioned
US8671056B1 (en) * 2013-01-22 2014-03-11 Mastercard International Incorporated Social sourced purchasing advice system
US9667473B2 (en) * 2013-02-28 2017-05-30 International Business Machines Corporation Recommending server management actions for information processing systems
US20140250376A1 (en) * 2013-03-04 2014-09-04 Microsoft Corporation Summarizing and navigating data using counting grids
US20140258155A1 (en) * 2013-03-11 2014-09-11 Amazon Technologies, Inc. Application marketplace for virtual desktops
US9607340B2 (en) * 2013-03-12 2017-03-28 Oracle International Corporation Method and system for implementing author profiling
US9818131B2 (en) 2013-03-15 2017-11-14 Liveramp, Inc. Anonymous information management
US9665883B2 (en) 2013-09-13 2017-05-30 Acxiom Corporation Apparatus and method for bringing offline data online while protecting consumer privacy
US9465857B1 (en) * 2013-09-26 2016-10-11 Groupon, Inc. Dynamic clustering for streaming data
US9589228B1 (en) * 2014-03-12 2017-03-07 Amazon Technologies, Inc. Automated content generation
WO2015164253A1 (en) * 2014-04-21 2015-10-29 Treiser Adam Phillip Methods and systems for optimizing data in large data sets using relevant metadata
US20160085854A1 (en) * 2014-09-19 2016-03-24 The Regents Of The University Of California Dynamic Natural Language Conversation
US9715714B2 (en) 2015-08-17 2017-07-25 Adobe Systems Incorporated Content creation and licensing control
US20170078138A1 (en) * 2015-09-11 2017-03-16 International Business Machines Corporation Real-time tagger
US9396285B1 (en) 2015-10-30 2016-07-19 International Business Machines Corporation Ensuring data maintenance within a LDAP environment
CN105512044B (en) * 2015-12-25 2018-01-09 北京奇虎科技有限公司 Method and system for updating keyword-driven test object library

Citations (50)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4744028A (en) 1985-04-19 1988-05-10 American Telephone And Telegraph Company, At&T Bell Laboratories Methods and apparatus for efficient resource allocation
US5740549A (en) 1995-06-12 1998-04-14 Pointcast, Inc. Information and advertising distribution system and method
US5761512A (en) 1995-12-27 1998-06-02 International Business Machines Corporation Automatic client-server complier
US5895470A (en) 1997-04-09 1999-04-20 Xerox Corporation System for categorizing documents in a linked collection of documents
US6041311A (en) 1995-06-30 2000-03-21 Microsoft Corporation Method and apparatus for item recommendation using automated collaborative filtering
US6078918A (en) 1998-04-02 2000-06-20 Trivada Corporation Online predictive memory
US6115709A (en) 1998-09-18 2000-09-05 Tacit Knowledge Systems, Inc. Method and system for constructing a knowledge profile of a user having unrestricted and restricted access portions according to respective levels of confidence of content of the portions
US6144944A (en) 1997-04-24 2000-11-07 Imgis, Inc. Computer system for efficiently selecting and providing information
US6154783A (en) 1998-09-18 2000-11-28 Tacit Knowledge Systems Method and apparatus for addressing an electronic document for transmission over a network
US6208994B1 (en) 1998-06-11 2001-03-27 Sun Microsystems, Inc. Supporters providing extensible classes without recoding for object-oriented applications
EP1087306A2 (en) 1999-09-24 2001-03-28 Xerox Corporation Meta-documents and method of managing them
US6240466B1 (en) 1997-04-21 2001-05-29 International Business Machines Corporation Object-oriented apparatus and method for determining new object location relative to an existing object
EP1143356A2 (en) 2000-04-07 2001-10-10 Xerox Corporation Meta-document and method of managing meta-documents
US6349295B1 (en) 1998-12-31 2002-02-19 Walker Digital, Llc Method and apparatus for performing supplemental searches over a network
US6353840B2 (en) 1997-08-15 2002-03-05 Ricoh Company, Ltd. User-defined search template for extracting information from documents
US6377983B1 (en) * 1998-08-31 2002-04-23 International Business Machines Corporation Method and system for converting expertise based on document usage
US6377949B1 (en) 1998-09-18 2002-04-23 Tacit Knowledge Systems, Inc. Method and apparatus for assigning a confidence level to a term within a user knowledge profile
US20020049621A1 (en) 2000-08-21 2002-04-25 Bruce Elisa M. Decision dynamics
US20020049750A1 (en) 2000-04-10 2002-04-25 Srinivas Venkatram Concept mapping based knowledge acquisition system and methods
US6397203B1 (en) 1998-09-30 2002-05-28 International Business Machines Corporation Defining object classes to match corresponding specialized data types in a relational database
US6405197B2 (en) 1998-09-18 2002-06-11 Tacit Knowledge Systems, Inc. Method of constructing and displaying an entity profile constructed utilizing input from entities other than the owner
US20020078003A1 (en) 2000-12-15 2002-06-20 Krysiak Bruce R. Method and system for identifying one or more information sources based on one or more trust networks associated with one or more knowledge domains
US20020087600A1 (en) 1999-09-22 2002-07-04 Newbold David Leroy Method and system for profiling users based on their relationships with content topics
US20020111934A1 (en) 2000-10-17 2002-08-15 Shankar Narayan Question associated information storage and retrieval architecture using internet gidgets
US20020152244A1 (en) 2000-12-22 2002-10-17 International Business Machines Corporation Method and apparatus to dynamically create a customized user interface based on a document type definition
US6513039B1 (en) * 1999-06-24 2003-01-28 International Business Machines Corporation Profile inferencing through automated access control list analysis heuristics
US6516350B1 (en) 1999-06-17 2003-02-04 International Business Machines Corporation Self-regulated resource management of distributed computer resources
US20030028525A1 (en) 2001-08-01 2003-02-06 Santos Richard A. System for and method of determining and using subject matter experts in a forum environment
US6553365B1 (en) 2000-05-02 2003-04-22 Documentum Records Management Inc. Computer readable electronic records automated classification system
US6560588B1 (en) 1997-10-30 2003-05-06 Nortel Networks Limited Method and apparatus for identifying items of information from a multi-user information system
US20030105732A1 (en) 2000-11-17 2003-06-05 Kagalwala Raxit A. Database schema for structure query language (SQL) server
US6604110B1 (en) 2000-08-31 2003-08-05 Ascential Software, Inc. Automated software code generation from a metadata-based repository
US6626957B1 (en) 1999-10-01 2003-09-30 Microsoft Corporation Markup language content and content mapping
US6633916B2 (en) 1998-06-10 2003-10-14 Hewlett-Packard Development Company, L.P. Method and apparatus for virtual resource handling in a multi-processor computer system
US6640229B1 (en) 1998-09-18 2003-10-28 Tacit Knowledge Systems, Inc. Automatic management of terms in a user profile in a knowledge management system
US6668251B1 (en) * 2000-11-01 2003-12-23 Tacit Knowledge Systems, Inc. Rendering discriminator members from an initial set of result data
US6687873B1 (en) 2000-03-09 2004-02-03 Electronic Data Systems Corporation Method and system for reporting XML data from a legacy computer system
US6697800B1 (en) 2000-05-19 2004-02-24 Roxio, Inc. System and method for determining affinity using objective and subjective data
US6711570B1 (en) * 2000-10-31 2004-03-23 Tacit Knowledge Systems, Inc. System and method for matching terms contained in an electronic document with a set of user profiles
US6714936B1 (en) 1999-05-25 2004-03-30 Nevin, Iii Rocky Harry W. Method and apparatus for displaying data stored in linked nodes
US20040068477A1 (en) 2000-10-31 2004-04-08 Gilmour David L. Method and system to publish the results of a search of descriptive profiles based on respective publication policies specified by owners of the descriptive profiles, and a profile service provider
US6732331B1 (en) 2000-02-15 2004-05-04 Vlad Alexander System and process for managing content organized in a tag-delimited template using metadata
US20040111386A1 (en) 2001-01-08 2004-06-10 Goldberg Jonathan M. Knowledge neighborhoods
US6754648B1 (en) 1999-09-30 2004-06-22 Software Ag Method for storing and managing data
US6772137B1 (en) 2001-06-20 2004-08-03 Microstrategy, Inc. Centralized maintenance and management of objects in a reporting system
US6789054B1 (en) 1999-04-25 2004-09-07 Mahmoud A. Makhlouf Geometric display tools and methods for the visual specification, design automation, and control of adaptive real systems
US6801940B1 (en) 2002-01-10 2004-10-05 Networks Associates Technology, Inc. Application performance monitoring expert
US20040205548A1 (en) 2000-04-06 2004-10-14 Bax Eric T Technique for extracting data from structured documents
US6816456B1 (en) 2000-02-04 2004-11-09 At&T Corp. Methods and apparatus for network use optimization
US6836797B2 (en) 1999-11-18 2004-12-28 Xacct Technologies, Ltd. System, method and computer program product for network record synthesis

Family Cites Families (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5873056A (en) * 1993-10-12 1999-02-16 The Syracuse University Natural language processing system for semantic vector representation which accounts for lexical ambiguity
JPH0863382A (en) 1994-08-19 1996-03-08 Fujitsu Ltd Method and device for confirming data compatibility in distributed system
US6571279B1 (en) * 1997-12-05 2003-05-27 Pinpoint Incorporated Location enhanced information delivery system
GB9426165D0 (en) 1994-12-23 1995-02-22 Anthony Andre C Method of retrieving and displaying data
US6363164B1 (en) * 1996-05-13 2002-03-26 Cummins-Allison Corp. Automated document processing system using full image scanning
EP0848337A1 (en) * 1996-12-12 1998-06-17 SONY DEUTSCHLAND GmbH Server with automatic document assembly
EP0974098A4 (en) 1997-02-07 2000-10-25 About Com Inc Collaborative internet data mining system
US6269369B1 (en) * 1997-11-02 2001-07-31 Amazon.Com Holdings, Inc. Networked personal contact manager
US5966707A (en) * 1997-12-02 1999-10-12 International Business Machines Corporation Method for managing a plurality of data processes residing in heterogeneous data repositories
US7257589B1 (en) * 1997-12-22 2007-08-14 Ricoh Company, Ltd. Techniques for targeting information to users
US6332154B2 (en) * 1998-09-11 2001-12-18 Genesys Telecommunications Laboratories, Inc. Method and apparatus for providing media-independent self-help modules within a multimedia communication-center customer interface
US6226645B1 (en) * 1998-10-22 2001-05-01 Soft Camp., Ltd. Construction of conceptional drawings utilizing hyper link information of web document and internet searching method through it
CA2361003C (en) 1999-01-27 2009-06-09 On Guard Plus Limited System for data capture, normalization, data event processing, communication and operator interface
WO2000046701A1 (en) 1999-02-08 2000-08-10 Huntsman Ici Chemicals Llc Method for retrieving semantically distant analogies
US6601026B2 (en) 1999-09-17 2003-07-29 Discern Communications, Inc. Information retrieval by natural language querying
US6883001B2 (en) * 2000-05-26 2005-04-19 Fujitsu Limited Document information search apparatus and method and recording medium storing document information search program therein
US7185001B1 (en) 2000-10-04 2007-02-27 Torch Concepts Systems and methods for document searching and organizing
US8402068B2 (en) * 2000-12-07 2013-03-19 Half.Com, Inc. System and method for collecting, associating, normalizing and presenting product and vendor information on a distributed network
US6631367B2 (en) 2000-12-28 2003-10-07 Intel Corporation Method and apparatus to search for information
US20020143562A1 (en) * 2001-04-02 2002-10-03 David Lawrence Automated legal action risk management
US7003502B1 (en) * 2001-07-17 2006-02-21 Unisys Corporation Method for knowledge management
US7305381B1 (en) * 2001-09-14 2007-12-04 Ricoh Co., Ltd Asynchronous unconscious retrieval in a network of information appliances
US7206778B2 (en) * 2001-12-17 2007-04-17 Knova Software Inc. Text search ordered along one or more dimensions
US7209906B2 (en) * 2002-01-14 2007-04-24 International Business Machines Corporation System and method for implementing a metrics engine for tracking relationships over time
US7043696B2 (en) * 2002-01-15 2006-05-09 National Instruments Corporation Graphical program system having a single graphical user interface shared by a plurality of graphical programs
US6996589B1 (en) 2002-01-16 2006-02-07 Convergys Cmg Utah, Inc. System and method for database conversion
US7092938B2 (en) 2002-08-28 2006-08-15 International Business Machines Corporation Universal search management over one or more networks
US7152059B2 (en) 2002-08-30 2006-12-19 Emergency24, Inc. System and method for predicting additional search results of a computerized database search user based on an initial search query

Patent Citations (54)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4744028A (en) 1985-04-19 1988-05-10 American Telephone And Telegraph Company, At&T Bell Laboratories Methods and apparatus for efficient resource allocation
US5740549A (en) 1995-06-12 1998-04-14 Pointcast, Inc. Information and advertising distribution system and method
US6041311A (en) 1995-06-30 2000-03-21 Microsoft Corporation Method and apparatus for item recommendation using automated collaborative filtering
US5761512A (en) 1995-12-27 1998-06-02 International Business Machines Corporation Automatic client-server complier
US5895470A (en) 1997-04-09 1999-04-20 Xerox Corporation System for categorizing documents in a linked collection of documents
US6240466B1 (en) 1997-04-21 2001-05-29 International Business Machines Corporation Object-oriented apparatus and method for determining new object location relative to an existing object
US6144944A (en) 1997-04-24 2000-11-07 Imgis, Inc. Computer system for efficiently selecting and providing information
US6353840B2 (en) 1997-08-15 2002-03-05 Ricoh Company, Ltd. User-defined search template for extracting information from documents
US6560588B1 (en) 1997-10-30 2003-05-06 Nortel Networks Limited Method and apparatus for identifying items of information from a multi-user information system
US6078918A (en) 1998-04-02 2000-06-20 Trivada Corporation Online predictive memory
US6633916B2 (en) 1998-06-10 2003-10-14 Hewlett-Packard Development Company, L.P. Method and apparatus for virtual resource handling in a multi-processor computer system
US6208994B1 (en) 1998-06-11 2001-03-27 Sun Microsystems, Inc. Supporters providing extensible classes without recoding for object-oriented applications
US6377983B1 (en) * 1998-08-31 2002-04-23 International Business Machines Corporation Method and system for converting expertise based on document usage
US6115709A (en) 1998-09-18 2000-09-05 Tacit Knowledge Systems, Inc. Method and system for constructing a knowledge profile of a user having unrestricted and restricted access portions according to respective levels of confidence of content of the portions
US6640229B1 (en) 1998-09-18 2003-10-28 Tacit Knowledge Systems, Inc. Automatic management of terms in a user profile in a knowledge management system
US6832224B2 (en) * 1998-09-18 2004-12-14 Tacit Software, Inc. Method and apparatus for assigning a confidence level to a term within a user knowledge profile
US6205472B1 (en) 1998-09-18 2001-03-20 Tacit Knowledge System, Inc. Method and apparatus for querying a user knowledge profile
US6377949B1 (en) 1998-09-18 2002-04-23 Tacit Knowledge Systems, Inc. Method and apparatus for assigning a confidence level to a term within a user knowledge profile
US6154783A (en) 1998-09-18 2000-11-28 Tacit Knowledge Systems Method and apparatus for addressing an electronic document for transmission over a network
US6647384B2 (en) 1998-09-18 2003-11-11 Tacit Knowledge Systems, Inc. Method and apparatus for managing user profiles including identifying users based on matched query term
US6405197B2 (en) 1998-09-18 2002-06-11 Tacit Knowledge Systems, Inc. Method of constructing and displaying an entity profile constructed utilizing input from entities other than the owner
US6421669B1 (en) 1998-09-18 2002-07-16 Tacit Knowledge Systems, Inc. Method and apparatus for constructing and maintaining a user knowledge profile
US6397203B1 (en) 1998-09-30 2002-05-28 International Business Machines Corporation Defining object classes to match corresponding specialized data types in a relational database
US6349295B1 (en) 1998-12-31 2002-02-19 Walker Digital, Llc Method and apparatus for performing supplemental searches over a network
US6789054B1 (en) 1999-04-25 2004-09-07 Mahmoud A. Makhlouf Geometric display tools and methods for the visual specification, design automation, and control of adaptive real systems
US6714936B1 (en) 1999-05-25 2004-03-30 Nevin, Iii Rocky Harry W. Method and apparatus for displaying data stored in linked nodes
US6516350B1 (en) 1999-06-17 2003-02-04 International Business Machines Corporation Self-regulated resource management of distributed computer resources
US6513039B1 (en) * 1999-06-24 2003-01-28 International Business Machines Corporation Profile inferencing through automated access control list analysis heuristics
US20020087600A1 (en) 1999-09-22 2002-07-04 Newbold David Leroy Method and system for profiling users based on their relationships with content topics
EP1087306A2 (en) 1999-09-24 2001-03-28 Xerox Corporation Meta-documents and method of managing them
US6754648B1 (en) 1999-09-30 2004-06-22 Software Ag Method for storing and managing data
US6626957B1 (en) 1999-10-01 2003-09-30 Microsoft Corporation Markup language content and content mapping
US6836797B2 (en) 1999-11-18 2004-12-28 Xacct Technologies, Ltd. System, method and computer program product for network record synthesis
US6816456B1 (en) 2000-02-04 2004-11-09 At&T Corp. Methods and apparatus for network use optimization
US6732331B1 (en) 2000-02-15 2004-05-04 Vlad Alexander System and process for managing content organized in a tag-delimited template using metadata
US6687873B1 (en) 2000-03-09 2004-02-03 Electronic Data Systems Corporation Method and system for reporting XML data from a legacy computer system
US20040205548A1 (en) 2000-04-06 2004-10-14 Bax Eric T Technique for extracting data from structured documents
EP1143356A2 (en) 2000-04-07 2001-10-10 Xerox Corporation Meta-document and method of managing meta-documents
US20020049750A1 (en) 2000-04-10 2002-04-25 Srinivas Venkatram Concept mapping based knowledge acquisition system and methods
US6553365B1 (en) 2000-05-02 2003-04-22 Documentum Records Management Inc. Computer readable electronic records automated classification system
US6697800B1 (en) 2000-05-19 2004-02-24 Roxio, Inc. System and method for determining affinity using objective and subjective data
US20020049621A1 (en) 2000-08-21 2002-04-25 Bruce Elisa M. Decision dynamics
US6604110B1 (en) 2000-08-31 2003-08-05 Ascential Software, Inc. Automated software code generation from a metadata-based repository
US20020111934A1 (en) 2000-10-17 2002-08-15 Shankar Narayan Question associated information storage and retrieval architecture using internet gidgets
US20040068477A1 (en) 2000-10-31 2004-04-08 Gilmour David L. Method and system to publish the results of a search of descriptive profiles based on respective publication policies specified by owners of the descriptive profiles, and a profile service provider
US6711570B1 (en) * 2000-10-31 2004-03-23 Tacit Knowledge Systems, Inc. System and method for matching terms contained in an electronic document with a set of user profiles
US6668251B1 (en) * 2000-11-01 2003-12-23 Tacit Knowledge Systems, Inc. Rendering discriminator members from an initial set of result data
US20030105732A1 (en) 2000-11-17 2003-06-05 Kagalwala Raxit A. Database schema for structure query language (SQL) server
US20020078003A1 (en) 2000-12-15 2002-06-20 Krysiak Bruce R. Method and system for identifying one or more information sources based on one or more trust networks associated with one or more knowledge domains
US20020152244A1 (en) 2000-12-22 2002-10-17 International Business Machines Corporation Method and apparatus to dynamically create a customized user interface based on a document type definition
US20040111386A1 (en) 2001-01-08 2004-06-10 Goldberg Jonathan M. Knowledge neighborhoods
US6772137B1 (en) 2001-06-20 2004-08-03 Microstrategy, Inc. Centralized maintenance and management of objects in a reporting system
US20030028525A1 (en) 2001-08-01 2003-02-06 Santos Richard A. System for and method of determining and using subject matter experts in a forum environment
US6801940B1 (en) 2002-01-10 2004-10-05 Networks Associates Technology, Inc. Application performance monitoring expert

Non-Patent Citations (11)

* Cited by examiner, † Cited by third party
Title
"Automated Expertise Profiling Saves Time", http://www.tacit.com/products/profiling.html, printed Jan. 9, 2002, 3 pages.
"Expertise Discovery & Search", http://www.tacit.com/products/espdiscovery.html, printed Jan. 9, 2002, 2 pages.
"KnowledgeMail", http://www.tacit.com/products/knowledgemail.html, printed Jan. 9, 2002, 3 pages.
http://www.forbes.com/global/2001/0205/088<SUB>-</SUB>print.html, as it appeared on 26 Feb. 20. *
http://www.tacit.com, as it appeared on Dec. 7, 2000. *
Mattox et al., "Enterprise Expert and Knowledge Discovery", Proceedings of the International Conference on Human Computer Interaction Conference, Aug. 23-27, 1999, Munich, Germany, 11 pages.
Maybury et al., "Expert Finding for Collaborative Virtual Environments", Communications of the ACM, vol. 44, No. 12, Dec. 2001, pp. 1, 2, 55, 56.
McDonald, David W., "Evaluating Expertise Recommendations"-Proceedings of the 2001 International ACM SIGGROUP Confernce on Supporting Group Work, in Boulder, Colorado, Oct. 2, 2001, pp. 214-223. *
TACIT-KnowledgeMail & KnowledgeMail Plus, "Creating the Smarter Enterprise" (Tacit Knowledge Systems, Inc., (C) May 2001). *
Vivacqua, Adriana, et al., "Agents to Assist in Finding Help"-Conference on Human Factors & Computing Systems Proceedings, in the Hague, the Netherlands, Apr. 2000, pp. 65-72. *
Wang, Jidong, et al., "Ranking User's Relevance to a Topic through Link Analysis on Web Logs" at the Proceedings of the 4th International Workshop on Web Information and Data Management in McLean, Virginia; pp. 49-54 (ACM Press-Nov. 8, 2002). *

Cited By (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040210565A1 (en) * 2003-04-16 2004-10-21 Guotao Lu Personals advertisement affinities in a networked computer system
US7783617B2 (en) * 2003-04-16 2010-08-24 Yahoo! Inc. Personals advertisement affinities in a networked computer system
US20050198068A1 (en) * 2004-03-04 2005-09-08 Shouvick Mukherjee Keyword recommendation for internet search engines
US8676830B2 (en) 2004-03-04 2014-03-18 Yahoo! Inc. Keyword recommendation for internet search engines
US8914383B1 (en) * 2004-04-06 2014-12-16 Monster Worldwide, Inc. System and method for providing job recommendations
US7739142B2 (en) 2004-05-17 2010-06-15 Yahoo! Inc. System and method for providing automobile marketing research information
US20050256755A1 (en) * 2004-05-17 2005-11-17 Yahoo! Inc. System and method for providing automobile marketing research information
US20060206584A1 (en) * 2005-03-11 2006-09-14 Yahoo! Inc. System and method for listing data acquisition
US8135704B2 (en) 2005-03-11 2012-03-13 Yahoo! Inc. System and method for listing data acquisition
US20060248076A1 (en) * 2005-04-21 2006-11-02 Case Western Reserve University Automatic expert identification, ranking and literature search based on authorship in large document collections
US8280882B2 (en) * 2005-04-21 2012-10-02 Case Western Reserve University Automatic expert identification, ranking and literature search based on authorship in large document collections
US8977618B2 (en) 2005-05-23 2015-03-10 Monster Worldwide, Inc. Intelligent job matching system and method
US8527510B2 (en) 2005-05-23 2013-09-03 Monster Worldwide, Inc. Intelligent job matching system and method
US8433713B2 (en) 2005-05-23 2013-04-30 Monster Worldwide, Inc. Intelligent job matching system and method
US8375067B2 (en) 2005-05-23 2013-02-12 Monster Worldwide, Inc. Intelligent job matching system and method including negative filtration
US20070288308A1 (en) * 2006-05-25 2007-12-13 Yahoo Inc. Method and system for providing job listing affinity
US20100274815A1 (en) * 2007-01-30 2010-10-28 Jonathan Brian Vanasco System and method for indexing, correlating, managing, referencing and syndicating identities and relationships across systems
US7433960B1 (en) * 2008-01-04 2008-10-07 International Business Machines Corporation Systems, methods and computer products for profile based identity verification over the internet
US9779390B1 (en) 2008-04-21 2017-10-03 Monster Worldwide, Inc. Apparatuses, methods and systems for advancement path benchmarking
US9830575B1 (en) 2008-04-21 2017-11-28 Monster Worldwide, Inc. Apparatuses, methods and systems for advancement path taxonomy
US20100082356A1 (en) * 2008-09-30 2010-04-01 Yahoo! Inc. System and method for recommending personalized career paths
US20110047213A1 (en) * 2009-08-20 2011-02-24 Alan David Manuel Method and process for identifying trusted information of interest
US9032289B1 (en) * 2010-03-26 2015-05-12 Google Inc. Providing suggestions to users to write comments
US8972399B2 (en) 2012-06-22 2015-03-03 Microsoft Technology Licensing, Llc Ranking based on social activity data
US9262640B2 (en) 2012-08-17 2016-02-16 Charles Fadel Controlling access to resources based on affinity planes and sectors
US20160162573A1 (en) * 2012-08-17 2016-06-09 Charles Fadel Controlling Access to Resources Based on Affinity Planes and Sectors
US9582567B2 (en) * 2012-08-17 2017-02-28 Charles Fadel Controlling access to resources based on affinity planes and sectors
US20140365301A1 (en) * 2013-06-11 2014-12-11 Visa International Service Association Systems and methods to generate offers based on transaction data

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